Jui T. Ho

793 total citations
10 papers, 603 citations indexed

About

Jui T. Ho is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Epidemiology. According to data from OpenAlex, Jui T. Ho has authored 10 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Behavioral Neuroscience and 2 papers in Epidemiology. Recurrent topics in Jui T. Ho's work include Adrenal Hormones and Disorders (6 papers), Hormonal Regulation and Hypertension (4 papers) and Stress Responses and Cortisol (2 papers). Jui T. Ho is often cited by papers focused on Adrenal Hormones and Disorders (6 papers), Hormonal Regulation and Hypertension (4 papers) and Stress Responses and Cortisol (2 papers). Jui T. Ho collaborates with scholars based in Australia, New Zealand and United States. Jui T. Ho's co-authors include David J. Torpy, John G. Lewis, Warrick J. Inder, Caroline Jung, Matthew Doogue, Anne Rogers, Lucia Gagliardi, Hanh H. Nguyen, Christopher J. Bagley and Gus Dekker and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular and Cellular Endocrinology and Clinical Endocrinology.

In The Last Decade

Jui T. Ho

9 papers receiving 590 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jui T. Ho Australia 9 296 180 137 122 76 10 603
Leslie Perry United Kingdom 13 313 1.1× 95 0.5× 144 1.1× 159 1.3× 25 0.3× 22 876
P. A. Rueckert United States 8 172 0.6× 114 0.6× 104 0.8× 74 0.6× 52 0.7× 10 478
G C Lachelin United Kingdom 11 257 0.9× 52 0.3× 94 0.7× 159 1.3× 50 0.7× 20 743
Stella R. Milsom New Zealand 14 189 0.6× 68 0.4× 92 0.7× 260 2.1× 42 0.6× 29 721
P. M. M. Meulenberg Netherlands 8 141 0.5× 130 0.7× 52 0.4× 73 0.6× 25 0.3× 8 406
J Hofman Netherlands 12 131 0.4× 90 0.5× 60 0.4× 60 0.5× 35 0.5× 39 501
Dan McConnell United States 8 322 1.1× 31 0.2× 47 0.3× 165 1.4× 41 0.5× 18 613
Sheila Jozak United States 5 77 0.3× 140 0.8× 310 2.3× 95 0.8× 168 2.2× 5 448
L Gagliardi Italy 9 330 1.1× 49 0.3× 38 0.3× 252 2.1× 51 0.7× 13 765
Fulvia Mancini Italy 18 224 0.8× 18 0.1× 94 0.7× 331 2.7× 86 1.1× 49 863

Countries citing papers authored by Jui T. Ho

Since Specialization
Citations

This map shows the geographic impact of Jui T. Ho's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jui T. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui T. Ho more than expected).

Fields of papers citing papers by Jui T. Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui T. Ho. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jui T. Ho. The network helps show where Jui T. Ho may publish in the future.

Co-authorship network of co-authors of Jui T. Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Jui T. Ho. A scholar is included among the top collaborators of Jui T. Ho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jui T. Ho. Jui T. Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ho, Jui T., et al.. (2021). Diagnostic Tests: Investigating thyroid nodules. Australian Prescriber. 44(6). 200–204. 8 indexed citations
2.
Du, Yang, et al.. (2018). Achondroplasia with SRY-positive 46, XX disorder of sex development: an extremely rare association. Endocrinology Diabetes and Metabolism Case Reports. 2018.
3.
Jung, Caroline, Hanh H. Nguyen, Jui T. Ho, et al.. (2014). Plasma, salivary and urinary cortisol levels following physiological and stress doses of hydrocortisone in normal volunteers. BMC Endocrine Disorders. 14(1). 91–91. 83 indexed citations
4.
Burt, Morton G., Anne Rogers, Jui T. Ho, et al.. (2013). Free and Total Plasma Cortisol Measured by Immunoassay and Mass Spectrometry Following ACTH1–24 Stimulation in the Assessment of Pituitary Patients. The Journal of Clinical Endocrinology & Metabolism. 98(5). 1883–1890. 25 indexed citations
5.
Cizza, Giovanni, Livia Bernardi, Nicoletta Smirne, et al.. (2011). Clinical Manifestations of Highly Prevalent Corticosteroid-Binding Globulin Mutations in a Village in Southern Italy. The Journal of Clinical Endocrinology & Metabolism. 96(10). E1684–E1693. 21 indexed citations
6.
Jung, Caroline, Jui T. Ho, David J. Torpy, et al.. (2011). A Longitudinal Study of Plasma and Urinary Cortisol in Pregnancy and Postpartum. The Journal of Clinical Endocrinology & Metabolism. 96(5). 1533–1540. 287 indexed citations
8.
Gagliardi, Lucia, Jui T. Ho, & David J. Torpy. (2009). Corticosteroid-binding globulin: The clinical significance of altered levels and heritable mutations. Molecular and Cellular Endocrinology. 316(1). 24–34. 62 indexed citations
9.
Dorin, Richard I., Jui T. Ho, John G. Lewis, et al.. (2008). Validation of a simple method of estimating plasma free cortisol: Role of cortisol binding to albumin. Clinical Biochemistry. 42(1-2). 64–71. 39 indexed citations
10.
Ho, Jui T., John G. Lewis, Peter D. O’Loughlin, et al.. (2007). Reduced maternal corticosteroid‐binding globulin and cortisol levels in pre‐eclampsia and gamete recipient pregnancies. Clinical Endocrinology. 66(6). 869–877. 60 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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